Registration of Time Series


Summary

If the sample is characterized by movement during the acquisition the time series can be corrected by aligning successive frames to the first.

Selective Plane Projection


Assumptions

The method assumes a 2D time series as input


Options

Parameter: StackReg

  • Sends the time series to imageJ where the plugin StackReg is applied with a 'rigid' transformation model.
  • Rigid: only translation or rotations i.e. no scaling
  • Attention: make sure to allocate enough Java Heap Space in Matlab to be able to process the image
  • Reference:
    • A Pyramid Approach to Subpixel Registration Based on Intensity P. Th√©venaz, U.E. Ruttimann, M. Unser IEEE Transactions on Image Processing, vol. 7, no. 1, pp. 27-41, January 1998.
    • StackReg website

Parameter: EpiTools's registration [beta]

  • This experimental registration method aligns the images in two steps:
    1. registration based on big features
    2. correction based on small features

Do you think these informations are not enough to help you? Drop a line to the author and he will extend this tutorial asap!
This page was written by Davide Heller on 10.09.14@17.08